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Performance analysis of predictive (alpha) stock factors
多因子指数增强策略/多因子全流程实现
An workflow in factor-based equity trading, including factor analysis and factor modeling. For well-established factor models, I implement APT model, BARRA's risk model and dynamic multi-factor model in this project.
Barra-Multiple-factor-risk-model
Micro-benchmarking library for Java
10 Weeks, 20 Lessons, Data Science for All!
实时获取新浪 / 腾讯 的免费股票行情 / 集思路的分级基金行情
A curated list of practical financial machine learning tools and applications.
:trollface:Git的奇技淫巧
专注大数据学习面试,大数据成神之路开启。Flink/Spark/Hadoop/Hbase/Hive...
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Java Matrix Benchmark is a tool for evaluating Java linear algebra libraries for speed, stability, and memory usage.
聚宽单因子分析工具
A collection of machine learning examples and tutorials.
100 numpy exercises (with solutions)
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
Python best practices guidebook, written for humans.
An open source SQL database designed to process time series data, faster
GPU-accelerated Factors analysis library and Backtester
The Akiban SQL Parser provides a complete, production-quality Java parser for the SQL language. It defines the SQL grammar as implemented by Akiban, but can be used independently. It is derived from the Apache Derby parser.
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
Teiid is a data virtualization system that allows applications to use data from multiple, heterogenous data stores.
Most commonly used git tips and tricks.
:heart:**科学技术大学计算机学院课程资源(https://mbinary.xyz/ustc-cs/)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.